4 citations · 4 across the 8 of their papers we have counts for
29 papers · 1 filter
FineDialFact: A benchmark for Fine-grained Dialogue Fact Verification
Xiangyan Chen, Yufeng Li, Yujian Gan +2
Large language models are known to produce hallucinations - factually incorrect or fabricated information - which poses significant challenges for many natural language processing…
Towards Inclusive Toxic Content Moderation: Addressing Vulnerabilities to Adversarial Attacks in Toxicity Classifiers Tackling LLM-generated Content
Shaz Furniturewala, Arkaitz Zubiaga
The volume of machine-generated content online has grown dramatically due to the widespread use of Large Language Models (LLMs), leading to new challenges for content moderation sy…
BiCon-Gate: Consistency-Gated De-colloquialisation for Dialogue Fact-Checking
Hyunkyung Park, Arkaitz Zubiaga
Automated fact-checking in dialogue involves multi-turn conversations where colloquial language is frequent yet understudied. To address this gap, we propose a conservative rewrite…
Claim2Vec: Embedding Fact-Check Claims for Multilingual Similarity and Clustering
Rrubaa Panchendrarajan, Arkaitz Zubiaga
Recurrent claims present a major challenge for automated fact-checking systems designed to combat misinformation, especially in multilingual settings. While tasks such as claim mat…
ContextClaim: A Context-Driven Paradigm for Verifiable Claim Detection
Yufeng Li, Rrubaa Panchendrarajan, Arkaitz Zubiaga
Automated fact-checking pipelines typically begin with a filtering stage that decides which claims are worth verifying, given that the later evidence retrieval and verification com…
Cross-lingual Offensive Language Detection: A Systematic Review of Datasets, Transfer Approaches and Challenges
Aiqi Jiang, Arkaitz Zubiaga
The growing prevalence and rapid evolution of offensive language in social media amplify the complexities of detection, particularly highlighting the challenges in identifying such…